The European Commission has recently released its Guidelines on the Definition of an Artificial Intelligence System under the AI Act (Regulation (EU) 2024/1689). The guidelines are adopted in parallel to commission guidelines on prohibited AI practices (that also entered into application on February 2), with the goal of providing businesses, developers and regulators with further clarification on the AI Act’s provisions.
Key Takeaways for Businesses and AI Developers
Not all AI systems are subject to strict regulatory scrutiny. Companies developing or using AI-driven solutions should assess their systems against the AI Act’s definition. With these guidelines (and the ones of prohibited practices), the European Commission is delivering on the need to add clarification to the core element of the act: what is an AI system?
The AI Act defines an AI system as a machine-based system designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment. The system, for explicit or implicit objectives, infers from input data how to generate outputs – such as predictions, content, recommendations or decisions – that can influence physical or virtual environments.
One of the most significant clarifications in the guidelines is the distinction between AI systems and “traditional software.”
- AI systems go beyond rule-based automation and require inferencing capabilities.
- Traditional statistical models and basic data processing software, such as spreadsheets, database systems and manually programmed scripts, do not qualify as AI systems.
- Simple prediction models that use basic statistical techniques (e.g., forecasting based on historical averages) are also excluded from the definition.
This distinction ensures that compliance obligations under the AI Act apply only to AI-driven technologies, leaving other software solutions outside of its scope.Continue Reading The ReAIlity of What an AI System Is – Unpacking the Commission’s New Guidelines